AIMC Topic: Odorants
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A predictive model for the evaluation of flavor attributes of raw and cooked beef based on sensor array analyses.
Food research international (Ottawa, Ont.)
Mar 22, 2019
There are currently no standardized objective measures to evaluate beef flavor attributes, especially the comparison between raw beef and cooked beef. Beef flavor attribute is one of the most significant parameters for consumers. This study described...
A neural data structure for novelty detection.
Proceedings of the National Academy of Sciences of the United States of America
Dec 3, 2018
Novelty detection is a fundamental biological problem that organisms must solve to determine whether a given stimulus departs from those previously experienced. In computer science, this problem is solved efficiently using a data structure called a B...
Abstract concept learning in a simple neural network inspired by the insect brain.
PLoS computational biology
Sep 17, 2018
The capacity to learn abstract concepts such as 'sameness' and 'difference' is considered a higher-order cognitive function, typically thought to be dependent on top-down neocortical processing. It is therefore surprising that honey bees apparantly h...
DeepLabCut: markerless pose estimation of user-defined body parts with deep learning.
Nature neuroscience
Aug 20, 2018
Quantifying behavior is crucial for many applications in neuroscience. Videography provides easy methods for the observation and recording of animal behavior in diverse settings, yet extracting particular aspects of a behavior for further analysis ca...
Functional Nanoparticles-Coated Nanomechanical Sensor Arrays for Machine Learning-Based Quantitative Odor Analysis.
ACS sensors
Aug 15, 2018
A sensing signal obtained by measuring an odor usually contains varied information that reflects an origin of the odor itself, while an effective approach is required to reasonably analyze informative data to derive the desired information. Herein, w...
Deep(er) Learning.
The Journal of neuroscience : the official journal of the Society for Neuroscience
Jul 13, 2018
Animals successfully thrive in noisy environments with finite resources. The necessity to function with resource constraints has led evolution to design animal brains (and bodies) to be optimal in their use of computational power while being adaptabl...
Animals
Deep Learning
Models, Neurological
Reward
Odorants
Synapses
Avoidance Learning
Nerve Net
Signal-To-Noise Ratio
Afferent Pathways
Association Learning
Environment
Drosophila melanogaster
Mushroom Bodies
Signal Detection, Psychological
Reinforcement, Psychology
Olfactory Perception
Olfactory Receptor Neurons
Conditioning, Operant
Conditioning, Classical
Neuropil
Predictive modeling for odor character of a chemical using machine learning combined with natural language processing.
PloS one
Jun 14, 2018
Recent studies on machine learning technology have reported successful performances in some visual and auditory recognition tasks, while little has been reported in the field of olfaction. In this paper we report computational methods to predict the ...
A Robot Equipped with a High-Speed LSPR Gas Sensor Module for Collecting Spatial Odor Information from On-Ground Invisible Odor Sources.
ACS sensors
Jun 8, 2018
Improving the efficiency of detecting the spatial distribution of gas information with a mobile robot is a great challenge that requires rapid sample collection, which is basically determined by the speed of operation of gas sensors. The present work...
Sensory characterization and acceptance of coffee brews of C. arabica and C. canephora blended with steamed defective coffee.
Food research international (Ottawa, Ont.)
Mar 13, 2018
Steam treatment has been reported as an alternative to improve the cup quality of coffee; in this research, it was applied to C. canephora defective coffee. The aim of the study was to evaluate the sensory perception of steamed defective C. canephora...
Dual solid-phase and stir bar sorptive extraction combined with gas chromatography-mass spectrometry analysis provides a suitable tool for assaying limonene-derived mint aroma compounds in red wine.
Analytica chimica acta
Dec 12, 2017
A novel analytical method was developed for quantitative determination of eight limonene-derived monoterpenes responsible for the mint aroma in red wine. As these aromatic compounds are present at trace levels, a new dual extraction approach was prop...
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